MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets

5 August 2021

Papers citing "MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets"

7 / 7 papers shown

Title
Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised Multi-Organ Medical Image Segmentation Xixi Jiang Dong Zhang Xiang Li Kangyi Liu Kwang-Ting Cheng Xin Yang OOD 25 1 0 05 Sep 2024
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation Xiaoyu Liu Linhao Qu Ziyue Xie Yonghong Shi Zhijian Song 36 1 0 17 Jul 2024
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters Yuhang Zhou Zihua Zhao Haolin Li Siyuan Du Jiangchao Yao Ya Zhang Yanfeng Wang MoMe MoE 40 3 0 14 Jun 2024
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training Han Liu Zhoubing Xu Riqiang Gao Hao Li J. Wang G. Chabin I. Oguz Sasa Grbic 33 17 0 27 Apr 2023
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation Constantin Ulrich Fabian Isensee Tassilo Wald M. Zenk Michael Baumgartner Klaus H. Maier-Hein 24 37 0 25 Mar 2023
RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction Donghao Zhou Chunbin Gu Junde Xu Furui Liu Qiong Wang Guangyong Chen Pheng-Ann Heng MoE 13 4 0 20 Dec 2022
Large Batch and Patch Size Training for Medical Image Segmentation Junya Sato Shoji Kido 19 2 0 24 Oct 2022